C. Rajendra Thilahar
Papers
1
Total Citations
4
H-Index
1
About
Dr. C. Rajendra Thilahar is a pioneering researcher at the intersection of artificial intelligence, fuzzy logic, and augmented reality (AR) systems. His work centers on developing intelligent computational frameworks that integrate fuzzy neuro-genetic approaches for enhanced feature selection and image classification. In his landmark 2019 study, "Fuzzy Neuro-Genetic Approach for Feature Selection and Image Classification in Augmented Reality Systems," Dr. Thilahar introduced a novel hybrid model combining fuzzy logic, neural networks, and genetic algorithms to optimize AR system performance. This innovative framework comprises two core modules—feature selection and classification—where fuzzy logic enables robust handling of uncertainty in real-world visual data. Although his citation count of 4 reflects a niche but growing impact, his contribution is notable for bridging soft computing techniques with practical AR applications, offering a scalable solution for dynamic image recognition tasks. Dr. Thilahar’s work holds particular relevance for researchers exploring adaptive AI systems, as his methodology demonstrates how fuzzy genetic neural networks can streamline data preprocessing and improve classification accuracy in immersive environments. His research continues to influence the development of smarter, more responsive augmented reality interfaces.
Research Focus
Key Achievements
Top Papers
- 1